@article{fdi:010060830,
  title = {{PLS}-regressions highlight litter quality as the major predictor of humus form shift along forest maturation},
  author = {{T}rap, {J}ean and {B}ureau, {F}. and {P}erez, {G}. and {A}ubert, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{U}sing {P}artial {L}east {S}quares regression, we ranked the ability of leaf litter and topsoil properties to predict humus form shift along a 130-yr-old pure beech forest chronosequence. {T}hree models were tested, including only litter properties (model 1), only topsoil properties (model 2) and both litter and topsoil properties (model 3). {T}he first model was highly significant and explained more than 91% of the humus form variability with {N}-based variables, {M}n, {M}g and {K} as the best predictors. {T}he second model showed lower goodness of fit (75%) with {C}a and {M}g contents, p{H}({KC}l) and {D}elta p{H} as good predictors. {T}he last model showed that litter traits were better predictors compared to topsoil variables, suggesting that beech trees may impact humus form along forest development mainly through aboveground pathways.},
  keywords = {{L}eaf litter quality ; {T}opsoil nutrients availability ; {H}umus {I}ndex ; {F}agus sylvatica ; {F}orest chronosequence ; {B}elow-aboveground relationships ; {PLS} regressions},
  booktitle = {},
  journal = {{S}oil {B}iology and {B}iochemistry},
  volume = {57},
  numero = {},
  pages = {969--971},
  ISSN = {0038-0717},
  year = {2013},
  DOI = {10.1016/j.soilbio.2012.07.014},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060830},
}